A quasi-Monte Carlo comparison of developments in parametric and semi-parametric regression methods for heavy-tailed and non-normal data : with an application to healthcare costs

Jones, Andrew Michael orcid.org/0000-0003-4114-1785, Lomas, James orcid.org/0000-0002-2478-7018, Moore, Peter et al. (1 more author) (2015) A quasi-Monte Carlo comparison of developments in parametric and semi-parametric regression methods for heavy-tailed and non-normal data : with an application to healthcare costs. Journal of the Royal Statistical Society: Series A (Statistics in Society). pp. 951-974. ISSN 1467-985X

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2015 The Authors. This content is made available by the publisher under a Creative Commons CC-BY Licence
Dates:
  • Published (online): 15 October 2015
  • Published: 2015
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > Economics and Related Studies (York)
The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York)
Depositing User: Pure (York)
Date Deposited: 20 Oct 2015 15:14
Last Modified: 06 Dec 2023 11:06
Published Version: https://doi.org/10.1111/rssa.12141
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1111/rssa.12141

Download

Published Version

Filename: Jones_et_al_2015_Journal_of_the_Royal_Statistical_Society_Series_A_Statistics_in_Society_.pdf

Description: Jones_et_al-2015-Journal_of_the_Royal_Statistical_Society__Series_A_(Statistics_in_Society)

CLICK TO DOWNLOAD [img]

Export

Statistics


CORE (COnnecting REpositories)